The nuclear techniques and the selection of model parameters in big data

被引：0
|
作者：
机构：
[1] Chunhong, Wang
来源：
Chunhong, Wang | 1600年 / Science and Engineering Research Support Society卷 / 07期
关键词：
Compendex;
D O I：
10.14257/ijdta.2014.7.6.14
中图分类号：
学科分类号：
摘要：
Data mining
引用
收藏
相关论文
共 50 条
  • [31] Big data analytics in Ralstonia solanacearum genomics
    Chandra, Shivani
    Grover, Alka
    Garg, Piyush
    Jauhari, Shalini
    Communications in Computer and Information Science, 2019, 955 : 98 - 107
  • [32] SELECTION OF MACHINING PARAMETERS USING AMBORITE.
    Notter, A.T.
    Heath, P.J.
    Industrial Diamond Review, 1981, 41 (484): : 135 - 139
  • [33] Nuclear data sheets for A = 110
    De Frenne, D.
    Jacobs, E.
    Nuclear Data Sheets, 2000, 89 (03): : 481 - 640
  • [34] RETRACTED: RFID Data Analysis and Evaluation Based on Big Data and Data Clustering (Retracted Article)
    Lv, Lihua
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [35] MATERIAL SELECTION FOR PWR NUCLEAR POWER PLANTS.
    Enrietto, J.F.
    Technical Report System - American Society for Metals, 1976, (76-32):
  • [36] Turning big data to smart data locally with the open embedded platform iCOMOX
    Lukashevich, Dzianis
    Electronics World, 2022, 127 (2017): : 6 - 9
  • [37] Building a Network Highway for Big Data: Architecture and Challenges
    Yi, Xiaomeng
    Liu, Fangming
    Liu, Jiangchuan
    Jin, Hai
    IEEE NETWORK, 2014, 28 (04): : 5 - 13
  • [38] The impact of big data analytics on the dynamics of social change
    Tseng, Fang-Mei
    Harmon, Robert
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2018, 130 : 56 - 56
  • [39] Aggregation on the fly: Reducing traffic for big data in the cloud
    University of Aizu, Japan
    不详
    IEEE Network, 5 (17-23): : 17 - 23
  • [40] A Big Data Analytics Architecture for the Internet of Small Things
    Gohar, Moneeb
    Ahmed, Syed Hassan
    Khan, Murad
    Guizani, Nadra
    Ahmed, Awais
    Rahman, Arif Ur
    IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (02) : 128 - 133
12345